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Deep learning in multimedia healthcare applications: a review
Multimedia Systems
  • Diana P. Tobón, V, Department of Telecommunications Engineering, Universidad de Medellín, Medellín, Colombia
  • M. Shamim Hossain, Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia
  • Ghulam Muhammad, Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia
  • Josu Bilbao, Head of Research Department - ICT (IoT Digital Platforms, Data Analytics & Artificial Intelligence) IKERLAN, Arrasate, Spain
  • Abdulmotaleb El Saddik, Mohamed bin Zayed University of Artificial Intelligence & University of Ottawa, Ottawa, Canada
Document Type

The increase in chronic diseases has affected the countries’ health system and economy. With the recent COVID-19 virus, humanity has experienced a great challenge, which has led to make efforts to detect it and prevent its spread. Hence, it is necessary to develop new solutions that are based on technology and low cost, to satisfy the citizens’ needs. Deep learning techniques is a technological solution that has been used in healthcare lately. Nowadays, with the increase in chips processing capabilities, increase size of data, and the progress in deep learning research, healthcare applications have been proposed to provide citizens’ health needs. In addition, a big amount of data is generated every day. Development in Internet of Things, gadgets, and phones has allowed the access to multimedia data. Data such as images, video, audio and text are used as input of applications based on deep learning methods to support healthcare system to diagnose, predict, or treat patients. This review pretends to give an overview of proposed healthcare solutions based on deep learning techniques using multimedia data. We show the use of deep learning in healthcare, explain the different types of multimedia data, show some relevant deep learning multimedia applications in healthcare, and highlight some challenges in this research area

Publication Date
  • Chronic disease,
  • COVID-19,
  • Deep learning,
  • Healthcare,
  • Monomedia,
  • Multimedia,
  • Multimodal

IR Deposit conditions:

OA version (pathway b) Accepted version

12 months embargo

Published source must be acknowledged

Must link to publisher version with DOI

Post-prints are subject to Springer Nature re-use terms

Citation Information
D.P. Tobón, M.S. Hossain, G. Mohammad, J. Bilbao, and A. El Saddik, "Deep learning in multimedia healthcare applications: a review", in Multimedia Systems, p. 1-15, May 2022, doi: 10.1007/s00530-022-00948-0